How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women

Bottom Line

This perspectives article discusses the potential for machine learning to address evidence gaps in pregnancy drug safety but provides no empirical research findings. While the topic is clinically relevant given historical exclusion of pregnant women from clinical trials, this commentary offers limited actionable evidence for clinical practice. The piece may raise awareness of emerging analytical approaches but cannot inform immediate clinical decision-making. Clinicians should continue relying on established pregnancy drug safety resources while awaiting rigorous research demonstrating the validity and clinical utility of machine learning approaches in this context. The theoretical potential discussed requires substantial validation before implementation in clinical practice.